remove excess line breaks in DeepPavlov model cards
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@@ -5,10 +5,7 @@ language:
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# rubert-base-cased
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RuBERT \(Russian, cased, 12-layer, 768-hidden, 12-heads, 180M parameters\) was trained on the Russian part of Wikipedia
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and news data. We used this training data to build a vocabulary of Russian subtokens and took a multilingual version
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of BERT-base as an initialization for RuBERT\[1\].
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RuBERT \(Russian, cased, 12‑layer, 768‑hidden, 12‑heads, 180M parameters\) was trained on the Russian part of Wikipedia and news data. We used this training data to build a vocabulary of Russian subtokens and took a multilingual version of BERT‑base as an initialization for RuBERT\[1\].
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\[1\]: Kuratov, Y., Arkhipov, M. \(2019\). Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language.
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arXiv preprint [arXiv:1905.07213](https://arxiv.org/abs/1905.07213).
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\[1\]: Kuratov, Y., Arkhipov, M. \(2019\). Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language. arXiv preprint [arXiv:1905.07213](https://arxiv.org/abs/1905.07213).
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